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Vasdekis, Vassilis G. S.; Cagnone, Silvia; Moustaki, Irini – Psychometrika, 2012
The paper proposes a composite likelihood estimation approach that uses bivariate instead of multivariate marginal probabilities for ordinal longitudinal responses using a latent variable model. The model considers time-dependent latent variables and item-specific random effects to be accountable for the interdependencies of the multivariate…
Descriptors: Geometric Concepts, Computation, Probability, Longitudinal Studies
Hessen, David J. – Psychometrika, 2012
A multinormal partial credit model for factor analysis of polytomously scored items with ordered response categories is derived using an extension of the Dutch Identity (Holland in "Psychometrika" 55:5-18, 1990). In the model, latent variables are assumed to have a multivariate normal distribution conditional on unweighted sums of item…
Descriptors: Foreign Countries, Factor Analysis, Testing, Scoring
Ojeda, Lizette; Castillo, Linda G.; Rosales Meza, Rocío; Piña-Watson, Brandy – Journal of Hispanic Higher Education, 2014
This study examined how college persistence intentions and life satisfaction influenced by acculturation, enculturation, White marginalization, and Mexican American marginalization among 515 Mexican American college students. The utility of a path analysis model was supported. Enculturation positively predicted persistence and life satisfaction.…
Descriptors: Mexican Americans, Life Satisfaction, Academic Persistence, College Students
Cox, Bradley E.; McIntosh, Kadian; Reason, Robert D.; Terenzini, Patrick T. – Review of Higher Education, 2014
Nearly all quantitative analyses in higher education draw from incomplete datasets-a common problem with no universal solution. In the first part of this paper, we explain why missing data matter and outline the advantages and disadvantages of six common methods for handling missing data. Next, we analyze real-world data from 5,905 students across…
Descriptors: Data Analysis, Statistical Inference, Research Problems, Computation
McIntosh, James; Munk, Martin D. – Scandinavian Journal of Educational Research, 2014
Latent class Poisson count models are used to analyse a sample of Danish test score results from a cohort of individuals born in 1954-1955, tested in 1968, and followed until 2011. The procedure takes account of unobservable effects as well as excessive zeros in the data. We show that the test scores measure manifest or measured ability as it has…
Descriptors: Foreign Countries, Scores, Multivariate Analysis, Cohort Analysis
Jin, Kuan-Yu; Wang, Wen-Chung – Educational and Psychological Measurement, 2014
Extreme response style (ERS) is a systematic tendency for a person to endorse extreme options (e.g., strongly disagree, strongly agree) on Likert-type or rating-scale items. In this study, we develop a new class of item response theory (IRT) models to account for ERS so that the target latent trait is free from the response style and the tendency…
Descriptors: Item Response Theory, Research Methodology, Bayesian Statistics, Response Style (Tests)
Herrera, Cheryl; Blair, Jennifer – Research in Higher Education Journal, 2015
As the U.S. population ages and policy changes emerge, such as the Patient Protection and Affordable Care Act of 2010, the U.S. will experience a significant shortage of Registered Nurses (RNs). Many colleges and universities are attempting to increase the size of nursing cohorts to respond to this imminent shortage. Notwithstanding a 2.6%…
Descriptors: Prediction, Success, Nursing Education, Nursing Students
Molenaar, Dylan; Dolan, Conor V.; van der Maas, Han L. J. – Structural Equation Modeling: A Multidisciplinary Journal, 2011
In this article we present factor models to test for ability differentiation. Ability differentiation predicts that the size of IQ subtest correlations decreases as a function of the general intelligence factor. In the Schmid-Leiman decomposition of the second-order factor model, we model differentiation by introducing heteroscedastic residuals,…
Descriptors: Factor Structure, Models, Intelligence Quotient, Correlation
Eggen, Theo J. H. M.; Verhelst, Norman D. – Psicologica: International Journal of Methodology and Experimental Psychology, 2011
This study discusses the justifiability of item parameter estimation in incomplete testing designs in item response theory. Marginal maximum likelihood (MML) as well as conditional maximum likelihood (CML) procedures are considered in three commonly used incomplete designs: random incomplete, multistage testing and targeted testing designs.…
Descriptors: Testing, Item Response Theory, Computation, Maximum Likelihood Statistics
Beauducel, Andre – Applied Psychological Measurement, 2013
The problem of factor score indeterminacy implies that the factor and the error scores cannot be completely disentangled in the factor model. It is therefore proposed to compute Harman's factor score predictor that contains an additive combination of factor and error variance. This additive combination is discussed in the framework of classical…
Descriptors: Factor Analysis, Predictor Variables, Reliability, Error of Measurement
Ho, Tsung-Han; Dodd, Barbara G. – Applied Measurement in Education, 2012
In this study we compared five item selection procedures using three ability estimation methods in the context of a mixed-format adaptive test based on the generalized partial credit model. The item selection procedures used were maximum posterior weighted information, maximum expected information, maximum posterior weighted Kullback-Leibler…
Descriptors: Computer Assisted Testing, Adaptive Testing, Test Items, Selection
Zhang, Xiaozhou; Tze, Virginia M. C.; Buhr, Erin; Klassen, Robert M.; Daniels, Lia M. – Journal of Psychoeducational Assessment, 2016
The current study provided evidence for the factor structure of the Academic Expectation Stress Inventory (AESI) in a sample of 213 Mainland Chinese and 184 South Korean high school students. We examined cross-national invariance of the AESI using multiple-group confirmatory factor analysis across two Asian cultural samples. Results suggested a…
Descriptors: Foreign Countries, High School Students, Adolescents, Measures (Individuals)
Saven, Jessica L.; Anderson, Daniel; Nese, Joseph F. T.; Farley, Dan; Tindal, Gerald – Journal of Special Education, 2016
Students with significant cognitive disabilities are eligible to participate in two statewide testing options for accountability: alternate assessments or general assessments with appropriate accommodations. Participation guidelines are generally quite vague, leading to students "switching" test participation between years. In this…
Descriptors: Intellectual Disability, Student Participation, State Surveys, Alternative Assessment
Arens, A. Katrin; Morin, Alexandre J. S. – Journal of Educational Psychology, 2016
Studies investigating the effects of emotional exhaustion among teachers have primarily focused on its relations with teacher-related outcome variables but little research has been done for examining its relations with student outcomes. Therefore, this study examines the relations between teachers' emotional exhaustion and educational outcomes…
Descriptors: Teacher Burnout, Outcomes of Education, Self Concept, Teacher Student Relationship
Rankin, Susan; Merson, Dan; Garvey, Jason C.; Sorgen, Carl H.; Menon, India; Loya, Karla; Oseguera, Leticia – Journal of Higher Education, 2016
Students' perceptions of the campus climate can affect their success and outcomes. Student-athletes' experiences with campus life are unique. The Student-Athletes Climate Study (SACS) is a national study of over 8,000 student athletes from all NCAA sports and divisions. The purpose of the study was to examine the influence of individual and…
Descriptors: Athletes, College Students, College Environment, Academic Achievement

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